code: def test_check_averaging():
      # This will work since it's a callable
      avg = lambda x, axis: x
      assert _check_averaging(avg) is avg
  
      # fails for bad method
      with pytest.raises(ValueError):
          _check_averaging("bad method")
  
      # fails for anything else
      with pytest.raises(TypeError):
          _check_averaging(123)
  
file_path: pmdarima/pmdarima/model_selection/tests/test_validation.py
imports: from pmdarima.arima import ARIMA
  from pmdarima.warnings import ModelFitWarning
  from pmdarima.compat.pytest import pytest_error_str
  from pmdarima.pipeline import Pipeline
  from pmdarima.preprocessing import FourierFeaturizer
  from pmdarima.model_selection._split import RollingForecastCV, SlidingWindowForecastCV
  from pmdarima.model_selection._validation import cross_val_score, _check_scoring, cross_validate, cross_val_predict, _check_averaging
  from pmdarima.datasets import load_airpassengers
  import pytest
  import numpy
  from unittest import mock
label_desc: Use image node_id 4 for calling a global function with example usage: test_check_averaging() without return types